登革热感染的宿主内动力学研究——结合体液和细胞反应和抗体产生的时间延迟

Q2 Mathematics
Deva Siva Sai Murari Kanumoori, D. Prakash, D. Vamsi, C. Sanjeevi
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引用次数: 2

摘要

摘要a.背景:登革热是一种由病毒引起的急性疾病。病毒在人体内的复杂行为可以通过数学模型来捕捉。这些模型有助于我们增强对病毒动态的理解。b.目的:我们建议研究登革热感染的宿主内流行病模型的动力学,该模型包括先天免疫反应和适应性免疫反应(细胞和体液)。所提出的模型还包括从B细胞产生抗体的时间延迟。我们建议通过进行稳定性和灵敏度分析,使用动力系统方法来理解该模型的动力学。c.使用的方法:使用下一代矩阵方法计算基本再现数(R0)。对所提出的模型进行了标准稳定性分析和灵敏度分析。d.结果:发现抗体募集率(q)的临界水平对各种稳态的存在和稳定性负责。地方病状态的稳定性取决于时间延迟(τ)。敏感性分析确定抗体的产生率(q)是高度敏感的参数。e.结论:得到了平衡点的存在性和稳定性条件。已经计算了时间延迟的阈值(τ0),这对于地方病状态的稳定性变化至关重要。进行了敏感性分析,以确定模型的关键和敏感参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Within-Host Dynamics of Dengue Infection incorporating both Humoral and Cellular Response with a Time Delay for Production of Antibodies
Abstract a. Background: Dengue is an acute illness caused by a virus. The complex behaviour of the virus in human body can be captured using mathematical models. These models helps us to enhance our understanding on the dynamics of the virus. b. Objectives: We propose to study the dynamics of within-host epidemic model of dengue infection which incorporates both innate immune response and adaptive immune response (Cellular and Humoral). The proposed model also incorporates the time delay for production of antibodies from B cells. We propose to understand the dynamics of the this model using the dynamical systems approach by performing the stability and sensitivity analysis. c. Methods used: The basic reproduction number (R0) has been computed using the next generation matrix method. The standard stability analysis and sensitivity analysis were performed on the proposed model. d. Results: The critical level of the antibody recruitment rate(q) was found to be responsible for the existence and stability of various steady states. The stability of endemic state was found to be dependent on time delay(τ). The sensitivity analysis identified the production rate of antibodies (q) to be highly sensitive parameter. e. Conclusions: The existence and stability conditions for the equilibrium points have been obtained. The threshold value of time delay (τ0) has been computed which is critical for change in stability of the endemic state. Sensitivity analysis was performed to identify the crucial and sensitive parameters of the model.
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来源期刊
Computational and Mathematical Biophysics
Computational and Mathematical Biophysics Mathematics-Mathematical Physics
CiteScore
2.50
自引率
0.00%
发文量
8
审稿时长
30 weeks
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